Predicting Road Defects and Optimizing Traffic Light Countdown to Reduce Congestion in Indonesia

This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Jakarta, Indonesia Local Chapter.

The problem

Jakarta faces several traffic-related issues, including congestion, accidents, and road defects. These problems lead to inefficiencies, safety hazards, and increased travel times for residents. The primary problems to tackle are:

1. Vehicle speed and category classification to enforce speed limits.

2. Traffic density classification for efficient traffic redirection.

3. Pothole detection for road maintenance and safety.

The goals

• Develop machine learning models for vehicle category classification and detection.
• Create a model for traffic density classification.
• Implement a pothole object detection system.
• Develop a user-friendly web application for real-time traffic management.
• Investigate the possibility of future developments like road lane instance segmentation, plate number recognition, and vehicle tracking.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work